| Autor: |
Dixit, Tripta, Selvamurthy, William, Sahu, Smita, Bansal, Tungish |
| Zdroj: |
International Journal of Technology Transfer and Commercialisation; 2023, Vol. 20 Issue: 3 p314-341, 28p |
| Abstrakt: |
The challenge of low translation rate of healthcare solutions is evident from the imbalance between R&D investment and commercialisable output, highlighting the need to examine the functioning of the existing technology transfer entities (TTEs) in healthcare sector. The diversity in the models adopted by TTEs poses challenges in the outcome-based evaluation of their performance. Therefore, we devised a comprehensive multi-criterion-based evaluation method consisting of 13 parameters to understand their performance efficiency and a total of 27 TTEs were evaluated. The results showed the effectiveness of parameters in devising a function and its significance in defining the performance of a TTE. Also, a correlation was observed between the highest performing TTEs and their output based on standard measurable deliverables. These TTEs showed strength in technology assessment, validation, scientist involvement, incubation, industry relations and technology transfer implementation. This approach can be utilised by evolving technology transfer ecosystems for performance assessment. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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